Computer Aided Systems Theory - EUROCAST 2017: Lecture Notes in Computer Science, cartea 10671
Editat de Roberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibiaen Limba Engleză Paperback – 26 ian 2018
The 117 full papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on: pioneers and landmarks in the development of information and communication technologies; systems theory, socio-economic systems and applications; theory and applications of metaheuristic algorithms; stochastic models and applications to natural, social and technical systems; model-based system design, verification and simulation; applications of signal processing technology; algebraic and combinatorial methods in signal and pattern analysis; computer vision, deep learning and applications; computer and systems based methods and electronics technologies in medicine; intelligent transportation systems and smart mobility.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 332.39 lei 6-8 săpt. | |
| Springer – 26 ian 2018 | 332.39 lei 6-8 săpt. | |
| Springer – 26 ian 2018 | 333.41 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319747170
ISBN-10: 3319747177
Pagini: 520
Ilustrații: XXVIII, 492 p. 161 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.78 kg
Ediția:1st edition 2018
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319747177
Pagini: 520
Ilustrații: XXVIII, 492 p. 161 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.78 kg
Ediția:1st edition 2018
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Pioneers and landmarks in the development of information and communication technologies.- Systems theory, socio-economic systems and applications.- Theory and applications of metaheuristic algorithms.- Stochastic models and applications to natural, social and technical systems.- Model-based system design, verification and simulation.- Applications of signal processing technology.- Algebraic and combinatorial methods in signal and pattern analysis.- Computer vision, deep learning and applications.- Computer and systems based methods and electronics technologies in medicine.- Intelligent transportation systems and smart mobility.